\texttt{Procrustes}: a python library to find transformations that maximize the similarity between matrices

DOI10.1016/j.cpc.2022.108334OpenAlexW4221040097WikidataQ114192692 ScholiaQ114192692MaRDI QIDQ2695590

Jonathan La, Paul W. Ayers, Fanwang Meng, Alireza Tehrani, Michael Richer, Farnaz Heidar Zadeh, Tae-Won Kim

Publication date: 31 March 2023

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cpc.2022.108334

zbMATH Keywords

rotationalpermutationsymmetricorthogonalsoftassignprocrustes analysis

Mathematics Subject Classification ID

Computer science (68-XX) Information and communication theory, circuits (94-XX)

Related Items (1)

Procrustes

Uses Software

• SciPy
• Python

Cites Work

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• Continuous generalized Proceustes analysis
• General \(k\)-opt submoves for the Lin-Kernighan TSP heuristic
• Orthogonal Procrustes rotation maximizing congruence
• The symmetric Procrustes problem
• Dykstra's algorithm for constrained least-squares rectangular matrix problems
• Generalized Procrustes analysis
• The invisible hand algorithm: solving the assignment problem with statistical physics
• Molecular alignment as a penalized permutation Procrustes problem
• Subspace Procrustes analysis
• Characterization and computation of matrices of maximal trace over rotations
• The \((M, N)\)-symmetric Procrustes problem
• Simultaneous singular value decomposition
• A generalized solution of the orthogonal Procrustes problem
• Learning to Rank for Information Retrieval
• An eigendecomposition approach to weighted graph matching problems
• Procrustes Problems
• Continuous Procrustes Distance Between Two Surfaces
• A Method for Solving Traveling-Salesman Problems
• An Effective Heuristic Algorithm for the Traveling-Salesman Problem

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